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Researchers tell ONS “Your Data on Vaccine Mortality is Flawed” & demand Public Withdrawal of Dataset

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Four researchers have written to the UK Office of National Statistics (“ONS”) pointing out that ONS’s data on vaccine mortality is not fit for purpose:

“All of the anomalies in the dataset introduce bias in favour of analyses supporting vaccine ‘safety and efficacy’. The fact that these data are being used as continued justification for the efficacy and safety of the covid vaccines is therefore now a matter of national concern and scandal,” they wrote.

The four researchers are Professor Norman Fenton and Professor Martin Neil from Queen Mary University, London, Dr. Clare Craig, an independent researcher, and Scott McLachlan of Kings College, London.

The researchers’ letter is a result of a report they published on 8 November 2022 which detailed the anomalies in ONS data.  The report concluded:

The ONS vaccine mortality surveillance reports for England have numerous anomalies which bias its results strongly toward underestimating mortality rates for the vaccinated and overestimating mortality rates for the unvaccinated.

Overall, the ONS dataset is so compromised with inaccuracies, anomalies, and biases that it cannot be used to reliably determine vaccine efficacy and safety.

What the ONS Mortality Covid-19 Surveillance Data can tell us about Vaccine Safety and Efficacy, Fenton N et al, 8 November 2022

Subsequently, the four researchers have written to the ONS calling for the public withdrawal of the ONS ‘Deaths by vaccination status, England’ dataset and the retraction of any claims made by others that are based on it.


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Republished from Norman Fenton

Following on from our latest report highlighting multiple anomalies in the most recent ONS covid vaccine mortality surveillance report we have written the following self-explanatory letter to the Statistics Regulator (regulation@statistics.gov.uk):

Dear Sir/Madam,

Since the ONS began producing its covid vaccine mortality surveillance reports in 2021, we have been highlighting various anomalies in their datasets. This includes strong evidence that many of those dying shortly after vaccination were being misclassified as unvaccinated (https://doi.org/http://dx.doi.org/10.13140/RG.2.2.12472.42248) and systematic undercounting of deaths occurring within first two weeks of vaccination (http://dx.doi.org/10.13140/RG.2.2.12472.42248).

We are especially concerned about the latest ONS dataset (https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/deathsbyvaccinationstatusengland) and have produced a detailed analysis which highlights the multiple glaring anomalies in it.

We show that, in addition to further definitive evidence of the misclassification and missing deaths, there is: a) gross underestimation of the population proportion unvaccinated, and b) mortality rates that are both nonsensical in various categories and completely incompatible with historical rates.

We believe that there are multiple violations of your code of practice (https://code.statisticsauthority.gov.uk/wp-content/uploads/2022/05/Code-of-Practice-for-Statistics-REVISED.pdf). In particular, the dataset breaches the Quality and Value criteria numbered: Q 1.1, Q1.4 – 1.7, Q 2.4, Q 2.5, Q 3.2 – 3.5, V 1.1, V 3.2 – 3.3.

All of the anomalies in the dataset introduce bias in favour of analyses supporting vaccine ‘safety and efficacy’. The fact that these data are being used as continued justification for the efficacy and safety of the covid vaccines is therefore now a matter of national concern and scandal. We believe that an investigation into how and why the ONS dataset is so flawed and corrupted is required. In the meantime, we call for:

  1. the public withdrawal of the ONS dataset and
  2. the retraction of any claims made by others that are based upon it.

Yours,

Norman Fenton, Martin Neil, Clare Craig and Scott McLachlan


A slightly updated version of our report (with more detailed reference citations than the version on ResearchGate) is HERE.

Awkward Git’s Newsletter provides e-mail exchanges with the ONS about their vaccine safety u-turn:

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stebarrett280953
stebarrett280953
2 days ago

Sadly, it appears that all government (directly or indirectly) funded institutions, whether the bbc, ons or the health system and media just to mention a few, are instruments of government propaganda and population control.

Mark Deacon
Mark Deacon
Reply to  stebarrett280953
1 day ago

Oh it gets better than that …

H.R. 5736 / THE SMITH-MUNDT MODERNIZATION ACT OF 2012 [STILL ACTIVE]PROPAGANDAObama passed this and allows the US state cdepartment to pay for misinformation in other nations media.

A Person
A Person
2 days ago

The “all cause mortality” figures for May, 2022 at that ONS site that I recorded are:

Status……………………….Age-standardised mortality rate/100,000 people
Unvaccinated…………………………………………872.9                  
1st dose, less than 21 days ago……………………x                    
1st dose, at least 21 days ago………………….1873.4                  
2nd dose, less than 21 days ago…………………..x                    
2nd dose, b/w 21 days & 6 months ago………1815.9                  
2nd dose, at least 6 months ago……………….1703.7                  
Booster, less than 21 days ago…………………2056.0                  
Booster, at least 21 days ago…………………….797.0                  
                
So the all cause mortality rates for everyone in England was approximately double for those who’d had 1 or 2 COVID poison shots than for the unpoisoned.

Even though the ONS were continually doing updated figures every one or two months, they have not published updated figures to cover the period that extends over almost the last 6 months.

Why?

Well, the mortality rates skyrocketed over the period 2021-22 for the 1- and 2-dosed people (e.g. the mortality rate for “2nd dose, b/w 21 days & 6 months ago” for January, 2021, was claimed to be a tiny 166.1 – which can be seen to have blown out to 1815.9 by May, 2022). So, the booster rates would be likely to blow out the same way and soon overtake the unpoisoned all cause mortality rate.

And this is with flawed data! Can you imagine what the figures would be if they weren’t flawed?

The excess deaths recorded around the world though show that people are dying of something…

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2 days ago

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soundattitude
soundattitude
2 days ago

I fear that this, though on the surface looks like an appropriate thing to do, may lead to the complete removal of data and, thus, a complete cover up!

ibmekon
ibmekon
2 days ago

An example of BBC dishonest reporting.
Just look at the graph and ignore the rubbish written.
In the decade before covid vax – the worldwide fertility rate was levelling off.
After vax started it dropped off a cliff.
—————————————————————
http://www.bbc.co.uk/news/health-53409521
Fertility rate: ‘Jaw-dropping’ global crash in children being born
The world is ill-prepared for the global crash in children being born which is set to have a “jaw-dropping” impact on societies, say researchers.
—————————————————————
But but in non mRNA Russia it is INCREASING
http://www.macrotrends.net/countries/RUS/russia/fertility-rate

And in non mRNA China it is INCREASING
http://www.macrotrends.net/countries/CHN/china/fertility-rate

Of course, .in mRNA Australia, New Zealand it is DECREASING
http://www.macrotrends.net/countries/AUS/australia/fertility-rate
http://www.macrotrends.net/countries/NZL/new-zealand/fertility-rate

And in 80%vaxxed with mRNA vaxed Brazil it is DECREASING
http://www.macrotrends.net/countries/BRA/brazil/fertility-rate

All my checks show other countries that used Chinese, Russian vax also used mRNA vaccines. Except Belarus uses both China, Russia vax.
Guess what ! It is INCREASING
http://www.macrotrends.net/countries/BLR/belarus/fertility-rate

Categorical, absolute, unqualified proof that mRNA cov 2 vaccine reduces fertility (of women and or men).

A Person
A Person
Reply to  ibmekon
2 days ago

TV says that Russia & Belarus are the bad guys 😉.

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